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Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Joins Mercury's Machine Learning Platform team to build and operate the production ML lifecycle for fraud/financial-crime risk decisioning: real-time low-latency model inference, deployment with registries and CI/CD, observability/drift detection, and retraining infrastructure. Core stack is Python backend services plus SQL, key-value stores (Redis/DynamoDB), and streaming (Kafka).
Senior Machine Learning Engineer hired through Astek Polska to work remotely (from Poznań, Poland) for its client: designing end-to-end ML solutions and deploying models to production using Python, SQL, scikit-learn, Git, and a cloud/data platform such as Azure, GCP, Databricks or Snowflake.
Job Summary The Senior Engineer, R&D is responsible for developing, improving, and delivering machine learning models for DeepHealth clinical AI products. This hands-on role spans data, experimentation, model…
Senior ML Engineer at Tripster, a TravelTech platform for booking tours and excursions worldwide, to build the company's ML practice end to end: ranking/classic ML models, vector search, LLM/RAG features (search, recommendations, pricing, chatbots) and production serving with Docker, Kubernetes and Airflow. Fully remote from anywhere in the world.
Senior algorithm engineer developing next-gen planning and guidance software for Intuitive's Ion robotic lung-biopsy platform: designing medical imaging ML algorithms that segment lung structures, detect anomalies, and track disease by fusing CT, CBCT, and X-ray images, then deploying models into real-time C++ production medical devices.
Optimize large-language-model inference engines (vLLM, SGLang, TensorRT-LLM) to boost throughput and cut latency for Cast AI’s Kimchi platform, tuning kernels, quantization, and scheduling across Kubernetes and major clouds.
Build and tune ML models for Apple’s Health AI team, applying deep learning and generative AI to health-focused products that impact millions of users.
Stelfox is hiring a Senior Machine Learning Engineer in Dublin for a 12-month initial-term, hybrid role. The engineer designs, develops, deploys and tests production-ready ML solutions with governance and data quality in mind, working with Python, R and Dataiku on AWS/Linux and applying GenAI patterns to deliver client outcomes.
Build and deploy ML models for Apple’s Health AI team, focusing on deep learning and generative AI to improve health-related products for millions of users.
Senior ML Engineer at Air builds the LLMOps backbone of its AI-native Enterprise Readiness platform for government and industrial customers: fine-tuning infrastructure, dataset and evaluation pipelines, model serving, and observability. Heavy Python, Kubernetes, and GPU-cloud work; U.S. citizenship required; Pittsburgh office or remote.
Senior AI/ML engineer role in Singapore (onsite) focused on building Python-based ML applications: predictive models and time-series forecasting, scalable data pipelines on Databricks using PySpark and SQL, and REST services via FastAPI, Flask or Django, in collaboration with data scientists and engineers.
Machine Learning Engineer bridging the sim2real gap for Gravis Robotics' autonomous construction machines: builds ML models of machine dynamics, defines validation metrics for model fidelity and sim2real transfer, and monitors performance changes over time. Core stack is Python, PyTorch, and git, with RL and system-identification experience valued.
A 12-month maternity leave cover role building and productionising machine learning models on local-authority data: designing training pipelines, LLM/RAG and embedding-based models, and containerised services deployed into Xantara's OneView platform. Core stack: Python, ML frameworks, SQL, Docker/FastAPI, with Azure cloud a bonus.
Senior Machine Learning Engineer at AB InBev Growth Group in Campinas, Brazil, building and scaling ML pipelines for the BEES B2B platform using Python, PySpark, Kubernetes, and Azure Cloud.
Build and scale ML systems for BEES, AB InBev’s B2B commerce platform, owning end-to-end pipelines from data to production inference.
Hi, Hope you are doing well, Please find the job description given below and let me know your interest. Position: Sr. Machine Learning Engineer (Hybrid) Location: Chicago, IL (Local only) Duration : 6-12 months Job…
Parallel Wireless is hiring a senior PHY algorithms engineer in Kfar Saba to research and design ML/neural-network-based cellular communication algorithms for 5G and beyond, targeting real-time inference on embedded platforms for tasks like channel estimation, detection, beamforming, and decoding. Core stack: Python, PyTorch, TensorFlow, and MATLAB.
Senior software engineer on Google Research building the ML core of next-generation AI-driven advertising systems: designing, training, and productionizing LLM/RL models end-to-end, from research prototypes to launched monetization features, with optional academic publishing.
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